Year: 2024
Type: article
Abstract: Today Artificial Intelligence (AI) and related technologies have become a disruptive force in the market, impacting every aspect of a business. AI's roles in corporate governance (CG) practices are important; it, however, has to be seamlessly integrated for the desired outcomes. This research aims to assess the critical and comfortable aspects of AI for CG in organisations, specifically in the manufacturing sector. The research employed a qualitative strategy since the strategy aids in exploring a phenomenon comprehensively. In line with the qualitative strategy, semi-structured interviews with experts from the manufacturing industry were conducted as subject of this research. Thematic analysis was done on data using ten experts, ranging from China’s manufacturing industry. The findings reveal that AI is quite important for CG since it can improve all the parts of CG, focusing on risk management and decision-making. Interviews with experts emphasised that AI has facilitated rational decision-making and risk management in organisations. Yet the findings also showed that AI in CG was not quite without challenges, such as data quality, ethics and employee resistance. Nonetheless, appropriate mitigation strategies can be implemented, like robust data governance frameworks and training programs for employees that can make AI a critical aspect of CG and ensure that it is comfortably integrated into business operations. Overall, this research has significant managerial implications since it highlights the need for AI in CG by addressing the challenges faced with AI integration.
Source: Journal of Economics and Trade
Authors: Jingjing Wang, Shiwen Gu, Yingchun Lu
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4405675344